Maya E. Kotas
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Immunology top 5%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
Papers in
- Surgery 7
- Eosinophilic Esophagitis 4
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- Immune Cell Function and Interaction 5
- IL-33, ST2, and ILC Pathways 5
- Co-authors
- Ruslan Medzhitov (3 shared papers)Richard M. Locksley (7 shared papers)Matthew P. Gillum (6 shared papers)Gerald I. Shulman (4 shared papers)Evan Mathenge (2 shared papers)Gerry F. Killeen (2 shared papers)Shin Yonemitsu (2 shared papers)Jennifer J. Hsiao (2 shared papers)
- Journals
- JCI Insight (2 papers)Science (1 paper)Cell Metabolism (1 paper)Tissue Engineering (1 paper)Tissue Engineering Part A (1 paper)
- Partner nations
- United StatesSwitzerlandKenya
In The Last Decade
Maya E. Kotas
21 papers receiving 1.9k citations
Maya E. Kotas's Hit Papers
Peers
Comparison fields: 5 of 132
- Geriatrics and Gerontology 150
- Immunology 471
- Biological Psychiatry 46
- Physiology 378
- Aging 22
Countries citing papers authored by Maya E. Kotas
This map shows the geographic impact of Maya E. Kotas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maya E. Kotas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya E. Kotas more than expected).
Fields of papers citing papers by Maya E. Kotas
This network shows the impact of papers produced by Maya E. Kotas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maya E. Kotas. The network helps show where Maya E. Kotas may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya E. Kotas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Homeostasis, Inflammation, and Disease Susceptibility Hit paper breakdown → | 2015 | 938 |
| 2 | 2011 | 255 | |
| 3 | 2006 | 126 | |
| 4 | 2018 | 84 | |
| 5 | 2011 | 72 | |
| 6 | 2015 | 71 | |
| 7 | 2013 | 67 | |
| 8 | 2013 | 40 | |
| 9 | 2008 | 35 | |
| 10 | 2022 | 31 | |
| 11 | 2022 | 31 | |
| 12 | 2022 | 31 | |
| 13 | 2022 | 28 | |
| 14 | 2021 | 22 | |
| 15 | 2024 | 21 | |
| 16 | 2013 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2008 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2008 | 3 |
About Maya E. Kotas
Maya E. Kotas is a scholar working on Surgery, Immunology, Epidemiology, Physiology and Molecular Biology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (5 papers), Eosinophilic Esophagitis (4 papers), Adipose Tissue and Metabolism (3 papers), Diet, Metabolism, and Disease (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Malaria Research and Control (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Geriatrics and Gerontology (150 citations), Immunology (471 citations), Biological Psychiatry (46 citations), Physiology (378 citations) and Aging (22 citations). Maya E. Kotas has collaborated with scholars based in United States, Switzerland and Kenya. Frequent co-authors include Ruslan Medzhitov, Richard M. Locksley, Matthew P. Gillum, Gerald I. Shulman, Evan Mathenge, Gerry F. Killeen, Shin Yonemitsu, Jennifer J. Hsiao, Derek M. Erion and Sanjay Bhanot. Their work appears in journals such as JCI Insight, Science, Cell Metabolism, Tissue Engineering and Tissue Engineering Part A.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.